LLM Discoverability: Get Found or Get Left Behind

Large language models (LLMs) are transforming how we interact with technology, but a powerful model is useless if nobody can find it. Effective LLM discoverability is now a critical success factor. Are you ready to cut through the hype and learn the concrete steps to make your LLM stand out in a crowded market?

1. Define Your Target Audience

Before you even think about algorithms and keywords, you need to know who you’re trying to reach. Are you targeting researchers, developers, businesses, or end-users? Different audiences use different search terms and platforms. For instance, a business looking for a customer service LLM will likely search for “AI chatbot” or “automated customer support,” while a researcher might use terms like “transformer model” or “natural language generation.” The language you use to describe your LLM needs to resonate with your ideal user.

I had a client last year who developed an incredible LLM for medical diagnosis. They initially focused on technical jargon in their marketing materials, but they weren’t getting any traction. Once we shifted to language that resonated with healthcare administrators and clinicians—terms like “improve diagnostic accuracy” and “reduce medical errors”—their adoption rate skyrocketed.

Pro Tip: Create detailed user personas. What are their pain points? What keywords do they use? Where do they hang out online?

2. Optimize Your Documentation

Your documentation is often the first (and sometimes only) impression potential users will have of your LLM. It needs to be clear, concise, and easy to understand. Include plenty of examples, use cases, and code snippets. Don’t assume your users are experts. Even experienced developers appreciate well-written, beginner-friendly documentation.

Focus on these key areas:

• Clear Introduction: Explain what your LLM does and who it’s for in simple terms.
• Detailed API Reference: Provide a comprehensive API reference with clear descriptions of each parameter and return value.
• Example Use Cases: Showcase how your LLM can be used in real-world scenarios.
• Troubleshooting Guide: Anticipate common issues and provide solutions.

Common Mistake: Forgetting to update your documentation as your LLM evolves. Stale documentation is worse than no documentation at all.

3. Implement Schema Markup

Schema markup is a way to provide search engines with more information about your LLM. It uses structured data to help search engines understand the content of your pages and display it more effectively in search results. Specifically, use the `SoftwareApplication` schema from schema.org.

Here’s how to implement it:

1. Identify Key Properties: Focus on properties like `applicationCategory` (e.g., “Artificial Intelligence”), `operatingSystem` (e.g., “Linux, Windows, macOS”), `featureList` (e.g., “Text Summarization, Sentiment Analysis”), and `offers` (pricing information).
2. Add JSON-LD Markup: Embed the schema markup in your HTML using JSON-LD format. This is the recommended approach by Google.
3. Test Your Markup: Use Google’s Rich Results Test tool to ensure your markup is valid and error-free.

Here’s an example of JSON-LD markup:

{
  "@context": "https://schema.org",
  "@type": "SoftwareApplication",
  "name": "My Awesome LLM",
  "applicationCategory": "Artificial Intelligence",
  "operatingSystem": "Linux, Windows, macOS",
  "featureList": "Text Summarization, Sentiment Analysis, Translation",
  "offers": {
    "@type": "Offer",
    "price": "Free",
    "priceCurrency": "USD"
  }
}

Pro Tip: Don’t just copy and paste the example above. Tailor the schema markup to accurately reflect the specific features and capabilities of your LLM.

For more on this, see our article about schema as a secret weapon.

4. Participate in Community Platforms

Engage with the LLM community on platforms like Hugging Face, Papers With Code, and relevant forums. Share your LLM, contribute to discussions, and answer questions. This helps build your reputation and increases the visibility of your model.

Actively monitor these platforms for mentions of your LLM and respond to user feedback. Address any issues or concerns promptly and professionally. Positive interactions can lead to valuable word-of-mouth marketing.

Common Mistake: Simply dumping your LLM on a platform and disappearing. Active engagement is crucial.

5. Optimize for LLM-Specific Search Engines

While traditional search engines like Google are important, don’t overlook LLM-specific search engines and model repositories. These platforms are specifically designed for discovering and evaluating LLMs. Make sure your LLM is listed on these platforms and that your listing is complete and accurate.

Key platforms to consider include:

• Hugging Face Model Hub: A central repository for pre-trained models.
• Papers With Code: A platform for tracking and comparing machine learning models.
• Catalyst AI: A search engine specifically for AI and machine learning resources.

We ran into this exact issue at my previous firm. We launched a fantastic LLM for financial forecasting, but we only focused on Google SEO. We completely missed the boat on specialized LLM repositories. Once we listed our model on Hugging Face and Catalyst AI, we saw a significant increase in downloads and usage.

6. Content Marketing and Thought Leadership

Create high-quality content that showcases your LLM’s capabilities and its potential applications. This could include blog posts, articles, tutorials, case studies, and white papers. Share your content on social media and relevant industry publications. Position yourself as a thought leader in the LLM space.

Focus on providing valuable insights and practical advice. Don’t just promote your LLM; educate your audience. Share your expertise and help others understand the potential of LLMs. For example, you could write a blog post on “5 Ways LLMs are Transforming the Financial Industry” or “A Step-by-Step Guide to Building a Chatbot with My Awesome LLM.”

To help you with this, consider these AI growth content creation tips for businesses.

Pro Tip: Guest blogging on reputable industry websites can significantly expand your reach and credibility.

7. Track and Analyze Your Results

Use analytics tools to track your LLM’s discoverability and performance. Monitor key metrics such as website traffic, search engine rankings, downloads, and usage. Analyze your data to identify what’s working and what’s not. Adjust your strategy accordingly.

Tools like Google Analytics, Semrush, and Ahrefs can provide valuable insights into your website’s performance and keyword rankings. Hugging Face also provides analytics on model downloads and usage.

Common Mistake: Failing to track your results and make data-driven decisions. Don’t just set it and forget it. Continuously monitor and optimize your strategy.

8. Case Study: Project Phoenix

Let’s look at a concrete example. “Project Phoenix” was a fictional LLM designed for legal document summarization, developed by a small team in Atlanta, GA. The team, led by Sarah Chen (a former paralegal), initially struggled with discoverability. Here’s what they did:

• Target Audience: Defined their core user as paralegals and legal assistants in Georgia, specifically those working in firms around the Fulton County Courthouse.
• Keyword Research: Identified keywords like “legal document summarization tool,” “AI for legal research,” and “Georgia legal tech.”
• Schema Markup: Implemented schema markup on their website, highlighting features like “legal document summarization,” “case law analysis,” and “O.C.G.A. Section 9-11-12 compliance.”
• Content Marketing: Created blog posts like “How Project Phoenix Saves Paralegals 10 Hours a Week” and “The Future of Legal Research in Georgia.”
• Community Engagement: Participated in online forums for legal professionals and showcased Project Phoenix at local legal tech conferences.

Within six months, Project Phoenix saw a 300% increase in website traffic and a 150% increase in trial sign-ups. They secured partnerships with several law firms in the Atlanta area, including one located near the intersection of Peachtree Street and Baker Street. Their success was directly attributable to their focused approach to LLM discoverability.

9. Don’t Forget the Basics: Website SEO

Even with the most advanced LLM, basic website SEO still matters. Ensure your website is mobile-friendly, loads quickly, and has a clear and intuitive navigation. Optimize your website’s title tags, meta descriptions, and header tags with relevant keywords. Build high-quality backlinks from reputable websites.

While this might seem obvious, it’s often overlooked. A well-optimized website provides a solid foundation for your LLM discoverability efforts. Think of it as the equivalent of making sure your physical storefront is clean, well-lit, and easy to find.

For a refresher, read our article on digital discoverability and SEO myths.

10. Consider Paid Advertising (Strategically)

While organic discoverability is ideal, paid advertising can provide a boost, especially in the early stages. Consider running targeted ads on Google Ads, LinkedIn, and other relevant platforms. Focus on keywords and demographics that align with your target audience.

However, be strategic with your advertising spend. Don’t just throw money at the problem. Carefully track your results and optimize your campaigns based on performance. A well-targeted ad campaign can drive qualified traffic to your website and increase the visibility of your LLM.

Here’s what nobody tells you: Paid ads are a great way to validate your keyword research. If your ads aren’t performing well, it might be a sign that your keyword targeting is off.

Getting your LLM noticed requires a multi-faceted approach, combining technical SEO, community engagement, and strategic marketing. By following these steps, you can increase the visibility of your LLM and attract the right users. The future of AI is dependent on accessible and discoverable models, so make sure yours isn’t left in the dark.

You should also be listening to AI brand mentions to see what people are saying.

The single most impactful thing you can do right now is revisit your LLM’s documentation. Ensure it’s not only accurate and comprehensive, but also clearly articulates the value proposition for your target audience. That’s where discoverability truly begins.